Image de-noising processing method and device

A processing method and image technology, applied in the field of image processing, can solve the problem that noise reduction methods cannot effectively remove noise and so on

Inactive Publication Date: 2016-07-13
NORTHWEST UNIV(CN)
View PDF4 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide an image denoising processing method and device to solve the problem in the prior art that noise reduction methods designed for magnetic resonance images usually cannot effectively remove noise

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image de-noising processing method and device
  • Image de-noising processing method and device
  • Image de-noising processing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] An embodiment of the present invention provides an image denoising method, comprising: performing variance-stabilized transformation on the acquired nuclear magnetic resonance signal to obtain transformed data with Gaussian distribution noise; wherein, the acquired nuclear magnetic resonance image has Rice distribution noise ; Estimate the transformed data with Gaussian distribution noise by low-rank approximation to obtain a reference image for reconstruction estimation; according to the reference image for reconstruction estimation, determine the shape adaptive kernel function of kernel Wiener filtering, so The shape adaptive kernel function includes a space domain kernel function and a brightness domain kernel function; according to the shape adaptive kernel function of the kernel Wiener filter, the nonlinear mapping of the transformed data with Gaussian distribution noise is determined, and according to the Non-linear mapping and the reference image of the reconstruc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention discloses an image de-noising processing method and device, and relates to the field of image processing technology. The objective of the invention is to solve the problem that a noise reduction method aiming at the magnetic resonance image design cannot effectively remove noise in the prior art. The method comprises: performing variance stabilization transformation of obtained nuclear magnetic resonance image signals, and obtaining transformation data with Gaussian distribution noise; performing estimation of the transformation data with Gaussian distribution noise through low rank approximation, and obtaining a reference image of reconstruction estimation and a nucleus Wiener filtering coefficient; performing convolution of the nucleus Wiener filtering coefficient and the transformation data with Gaussian distribution noise, and obtaining the noise reduction data with biased estimation; and performing unbiased inverse transformation of the noise reduction data with biased estimation, and obtaining a noise-free and unbiased estimation nuclear magnetic resonance image.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular to an image denoising processing method and device. Background technique [0002] With the rapid development of magnetic resonance imaging technology, the resolution, signal-to-noise ratio and scanning speed of magnetic resonance images have been greatly improved, but magnetic resonance image noise is still an important problem in the research of magnetic resonance imaging technology. In order to reduce the influence of noise, magnetic resonance image noise reduction technology is widely used in quantitative magnetic resonance, medical image analysis and clinical diagnosis. However, due to the limitations of various factors such as the mechanism of MRI, scanning speed and target motion, the images acquired by MRI scanners still show obvious noise and artifacts. Noise brings great difficulty to magnetic resonance images, especially functional magnetic resonance ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/10088
Inventor 章勇勤陈晓江房鼎益郑霞肖进胜兰慧许鹏飞肖云陈峰彭瑶王安文
Owner NORTHWEST UNIV(CN)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap